Botnets have become the most powerful tool for attackers to victimize countless users across cyberspace. Previous work on botnet detection has mainly focused on identifying infected bot computers or IP addresses and not on identifying bot processes on a host machine. This paper aims to fill this gap by presenting a bot process detection technique based on process symptoms such as: TCP connectio...

Most of these opportunistic pursuits are exploited through automated programs, known as bots. We propose a framework (Stweeler) to study bot impact and influence on Twitter from systems and social media perspectives. Research Questions 1). About bots: Why do bots exist in such quantity in a large OSN such as Twitter? 2). Bot usage and impact: How do different entities, e.g. news corps or commer...

The quest to 'forward-engineer' and fabricate biological machines remains a grand challenge. Towards this end, we have fabricated locomotive "bio-bots" from hydrogels and cardiomyocytes using a 3D printer. The multi-material bio-bot consisted of a 'biological bimorph' cantilever structure as the actuator to power the bio-bot, and a base structure to define the asymmetric shape for locomotion. T...

Bot detection is an emerging problem in social games that requires different approaches from those used in massively multi-player online games (MMOGs). We focus on mouse selections as a key element of bot detection. We hypothesize that certain interface elements result in predictable differences in mouse selections, which we call spatial game signatures, and that those signatures can be used to...

Intelligent Tutoring Systems are computer programs that aim at providing personalized instruction to students. In recent years, conversational robots, usually known as chatterbots, become very popular in the Internet, and ALICE (Artificial Linguistic Internet Computer Entity) is probably the most popular one. ALICE brain is written in AIML (Artificial Intelligence Markup Language), an open XML ...

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